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  1. 一个rticle

    Open Access

    Topic space trajectories

    The annual number of publications at scientific venues, for example, conferences and journals, is growing quickly. Hence, even for researchers it becomes harder and harder to keep track of research topics and ...

    Bastian Schaefermeier,Gerd Stumme,Tom HanikainScientometrics(2021)

  2. 一个rticle

    Open Access

    Proximity dimensions and the emergence of collaboration: a HypTrails study on German AI research

    创造和交流知识依赖于胶质aboration. Recent work has suggested that the emergence of collaboration frequently relies on geographic proximity. However, being co-located tends to be assoc...

    Tobias Koopmann,Maximilian Stubbemann,Matthias Kapa,Michael ParisinScientometrics(2021)

  3. No Access

    Chapter and Conference Paper

    Exploring Scale-Measures of Data Sets

    Measurement is a fundamental building block of numerous scientific models and their creation in data driven science. Due to the high complexity and size of modern data sets, it is necessary to develop understa...

    Tom Hanika,Johannes HirthinFormal Concept Analysis(2021)

  4. No Access

    Book and Conference Proceedings

    Formal Concept Analysis

    16th International Conference, ICFCA 2021, Strasbourg, France, June 29 – July 2, 2021, Proceedings

    一个gnès Braud,一个leksey Buzmakov,Tom Hanikain Lecture Notes in Computer Science(2021)

  5. Chapter and Conference Paper

    Orometric Methods in Bounded Metric Data

    一个large amount of data accommodated in knowledge graphs (KG) is metric. For example, the Wikidata KG contains a plenitude of metric facts about geographic entities like cities or celestial objects. In this pap...

    Maximilian Stubbemann,Tom Hanikain一个dvances in Intelligent Data Analysis XVIII(2020)

  6. No Access

    Chapter and Conference Paper

    Discovering Implicational Knowledge in Wikidata

    Knowledge graphs have recently become the state-of-the-art tool for representing the diverse and complex knowledge of the world. Among the freely available knowledge graphs, Wikidata stands out by being collab...

    Tom Hanika,Maximilian Marx,Gerd StummeinFormal Concept Analysis(2019)

  7. No Access

    Chapter and Conference Paper

    Relevant Attributes in Formal Contexts

    Computing conceptual structures, like formal concept lattices, is a challenging task in the age of massive data sets. There are various approaches to deal with this, e.g., random sampling, parallelization, or...

    Tom Hanika,Maren Koyda,Gerd StummeinGraph-Based Representation and Reasoning(2019)

  8. No Access

    Chapter

    „Ich denke, es ist wichtig zu verstehen, warum die Netzwerkanalyse jetzt populär und besonders interessant für die Forschung geworden ist.“

    In diesem Interview befragen zwei Soziologen einen Mathematiker und einen Informatiker zu den Grundlagen der Netzwerkanalyse. Das Interview ist durch Reflexionen und Gedankenexperimente aufgelockert und führt ...

    Tom Hanika,Mark Kibanov,Jonathan Kropf,Stefan LaserinDigitale Bewertungspraktiken(2019)

  9. No Access

    Chapter and Conference Paper

    Formal Context Generation Using Dirichlet Distributions

    Randomly generating formal contexts is an important task in the realm of formal concept analysis, in particular when comparing the performance of algorithms. We suggest an improved way to randomly generate for...

    Maximilian Felde,Tom HanikainGraph-Based Representation and Reasoning(2019)

  10. No Access

    Chapter and Conference Paper

    Clones in Graphs

    Finding structural similarities in graph data, like social networks, is a far-ranging task in data mining and knowledge discovery. A (conceptually) simple reduction would be to compute the automorphism group o...

    Stephan Doerfel,Tom Hanika,Gerd StummeinFoundations of Intelligent Systems(2018)

  11. No Access

    Chapter and Conference Paper

    Towards Collaborative Conceptual Exploration

    In domains with high knowledge distribution a natural objective is to create principle foundations for collaborative interactive learning environments. We present a first mathematical characterization of a col...

    Tom Hanika,Jens ZumbrägelinGraph-Based Representation and Reasoning(2018)

  12. No Access

    Chapter

    Individuality in Social Networks

    We consider individuality in bi-modal social networks, a facet that has not been considered before in the mathematical analysis of social networks. We use methods from formal concept analysis to develop a natu...

    Daniel Borchmann,Tom HanikainFormal Concept Analysis of Social Networks(2017)

  13. No Access

    Chapter and Conference Paper

    On the Usability of Probably Approximately Correct Implication Bases

    We revisit the notion ofprobably approximately correct implication basesfrom the literature and present a first formulation in the language of formal concept analysis, with the goal to investigate whether such ...

    Daniel Borchmann,Tom Hanika,Sergei ObiedkovinFormal Concept Analysis(2017)